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Depressive disorders result from a complex interplay of biological, psychological, and sociocultural factors, each contributing uniquely to the development and persistence of the condition. Understanding these factors provides critical insight into the multifaceted nature of depression.
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Related Experiment Video

Updated: Jul 12, 2025

Design and Implementation of an fMRI Study Examining Thought Suppression in Young Women with, and At-risk, for Depression
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Elevated emotion network connectivity is associated with fluctuations in depression.

Sean W Kelley1,2, Aaron J Fisher3, Chi Tak Lee1,2

  • 1School of Psychology, Trinity College Dublin, Dublin D02 PN40, Ireland.

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Elevated emotion network connectivity is linked to greater fluctuations in depression symptoms over time, not necessarily increased severity. This variability may offer therapeutic intervention opportunities.

Keywords:
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Area of Science:

  • Psychology
  • Neuroscience
  • Computational Psychiatry

Background:

  • Elevated emotion network connectivity is hypothesized to increase vulnerability to depression.
  • The precise mechanism linking network connectivity to depression severity remains unclear.

Purpose of the Study:

  • To investigate the relationship between emotion network connectivity and depression.
  • To determine if connectivity is associated with depression severity or its variability over time.

Main Methods:

  • Data collected from two independent samples (students and citizen scientists) using smartphone-based emotion ratings and weekly depression questionnaires over 8 weeks.
  • Personalized emotion networks constructed to analyze connectivity.
  • Statistical analysis to assess associations between network connectivity, depression severity, and depression variance.

Main Results:

  • Network connectivity positively associated with baseline depression severity in citizen scientists, but not paid students.
  • Eight-week depression variance correlated with network connectivity in both samples.
  • When controlling for depression variance, the association between connectivity and baseline depression severity in citizen scientists was no longer significant.
  • Findings replicated in an independent community sample (N=519).

Conclusions:

  • Elevated emotion network connectivity is associated with greater variability in depression symptoms.
  • This variability translates to increased severity only in specific sample populations where mean and variance are more strongly correlated.
  • Findings suggest potential for leveraging network connectivity in therapeutic interventions for depression.